Feature Extraction
sentence-transformers
Safetensors
PEFT
English
Finnish
Swedish
ministral3
text-embeddings
retrieval
cross-lingual
lora
Instructions to use ConfidentialMind/SampoTron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ConfidentialMind/SampoTron with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ConfidentialMind/SampoTron") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - PEFT
How to use ConfidentialMind/SampoTron with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ConfidentialMind/SampoTron: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/ConfidentialMind/SampoTron/resolve/main/tokenizer.json
- Command line
-
hf download hf://ConfidentialMind/SampoTron/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ConfidentialMind/SampoTron/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 2b52da05abaf03eeef07e9d892fc36cf0aac639f72814f6e470df48dcf2f81e9
- Size of remote file:
- 17.1 MB
- SHA256:
- 797410dfb649a5b9ba92bc4fef7dbf4022d00e73de6867c4ac199a8846439421
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